{"title":"人工智能(AI)事实标签:一种创新的披露工具,促进医疗保健人工智能系统以患者为中心的透明度。","authors":"Katrina A Bramstedt","doi":"10.1007/s10916-025-02216-w","DOIUrl":null,"url":null,"abstract":"<p><p>In the field of healthcare, artificial intelligence (AI)-assisted solutions can be viewed with anxiety or apprehension, thus transparency and trust-building are essential. AI is often invisible (and potentially undisclosed) to users, violating the ethical principle of transparency -- particularly with respect to informed disclosure. This Brief Technical Report describes the creation of a novel, patient-centric prototype AI transparency tool (AI Facts Label) using the United States Drug Facts Label as a model. The prototype was then populated with lay language in the context of a hypothetical AI-assisted wearable medical device. Using lay language amid a defined graphic template that could be globally harmonized, the AI Facts Label is a communication tool that honors the ethical principle of transparency and could potentially aid readers (patients and healthcare workers) in understanding the use of AI in a specific product. AI Facts Labels have the potential to be used globally (adapted to local language) in clinical research settings as well as commercial settings as a transparency tool that discloses when a system is AI-assisted. AI Facts Labels could also be used as a communication tool in other settings such as general consumer electronics (e.g., televisions, household appliances, mobile phones) and non-healthcare apps.</p>","PeriodicalId":16338,"journal":{"name":"Journal of Medical Systems","volume":"49 1","pages":"78"},"PeriodicalIF":5.7000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence (AI) Facts Labels: An Innovative Disclosure Tool Promoting Patient-Centric Transparency in Healthcare AI Systems.\",\"authors\":\"Katrina A Bramstedt\",\"doi\":\"10.1007/s10916-025-02216-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>In the field of healthcare, artificial intelligence (AI)-assisted solutions can be viewed with anxiety or apprehension, thus transparency and trust-building are essential. AI is often invisible (and potentially undisclosed) to users, violating the ethical principle of transparency -- particularly with respect to informed disclosure. This Brief Technical Report describes the creation of a novel, patient-centric prototype AI transparency tool (AI Facts Label) using the United States Drug Facts Label as a model. The prototype was then populated with lay language in the context of a hypothetical AI-assisted wearable medical device. Using lay language amid a defined graphic template that could be globally harmonized, the AI Facts Label is a communication tool that honors the ethical principle of transparency and could potentially aid readers (patients and healthcare workers) in understanding the use of AI in a specific product. AI Facts Labels have the potential to be used globally (adapted to local language) in clinical research settings as well as commercial settings as a transparency tool that discloses when a system is AI-assisted. AI Facts Labels could also be used as a communication tool in other settings such as general consumer electronics (e.g., televisions, household appliances, mobile phones) and non-healthcare apps.</p>\",\"PeriodicalId\":16338,\"journal\":{\"name\":\"Journal of Medical Systems\",\"volume\":\"49 1\",\"pages\":\"78\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2025-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medical Systems\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s10916-025-02216-w\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Systems","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s10916-025-02216-w","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
Artificial Intelligence (AI) Facts Labels: An Innovative Disclosure Tool Promoting Patient-Centric Transparency in Healthcare AI Systems.
In the field of healthcare, artificial intelligence (AI)-assisted solutions can be viewed with anxiety or apprehension, thus transparency and trust-building are essential. AI is often invisible (and potentially undisclosed) to users, violating the ethical principle of transparency -- particularly with respect to informed disclosure. This Brief Technical Report describes the creation of a novel, patient-centric prototype AI transparency tool (AI Facts Label) using the United States Drug Facts Label as a model. The prototype was then populated with lay language in the context of a hypothetical AI-assisted wearable medical device. Using lay language amid a defined graphic template that could be globally harmonized, the AI Facts Label is a communication tool that honors the ethical principle of transparency and could potentially aid readers (patients and healthcare workers) in understanding the use of AI in a specific product. AI Facts Labels have the potential to be used globally (adapted to local language) in clinical research settings as well as commercial settings as a transparency tool that discloses when a system is AI-assisted. AI Facts Labels could also be used as a communication tool in other settings such as general consumer electronics (e.g., televisions, household appliances, mobile phones) and non-healthcare apps.
期刊介绍:
Journal of Medical Systems provides a forum for the presentation and discussion of the increasingly extensive applications of new systems techniques and methods in hospital clinic and physician''s office administration; pathology radiology and pharmaceutical delivery systems; medical records storage and retrieval; and ancillary patient-support systems. The journal publishes informative articles essays and studies across the entire scale of medical systems from large hospital programs to novel small-scale medical services. Education is an integral part of this amalgamation of sciences and selected articles are published in this area. Since existing medical systems are constantly being modified to fit particular circumstances and to solve specific problems the journal includes a special section devoted to status reports on current installations.